Re: Sql Query :: Any advice ? - Mailing list pgsql-performance

From Henrik Ekenberg
Subject Re: Sql Query :: Any advice ?
Date
Msg-id 20161115153053.Horde.FdPqz_uJLMknz4L8pIlTdDQ@box1242.bluehost.com
Whole thread Raw
In response to Re: Sql Query :: Any advice ?  (vinny <vinny@xs4all.nl>)
Responses Re: Sql Query :: Any advice ?  (vinny <vinny@xs4all.nl>)
List pgsql-performance

Here are the indexes I have for those queries

Indexes:

hist_account_balance  :: "hist_account_balance_ix1" btree (trade_no)
   

trades :: "trades_pkey" PRIMARY KEY, btree  (trade_no)
 "trades_trade_date_index" btree (trade_date)

//H


Quoting vinny <vinny@xs4all.nl>:

On 2016-11-15 14:27, Henrik Ekenberg wrote:

Hi,

I have some data to join and I want to get som advice from you.

Any tips ? Any comments are apreciated

//H

select trade_no
from
forecast_trades.hist_account_balance
left join trades using (trade_no)
where  trade_date > current_date - 120
  and    trade_date < current_date - 30
  and    forex = 'f'
  and    options = 'f'
  group by trade_no
  having max(account_size) > 0
;

( Query Plan : https://explain.depesz.com/s/4lOD )

QUERY PLAN

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
HashAggregate  (cost=34760605.76..34773866.26 rows=1060840 width=15)
(actual time=1142816.632..1150194.076 rows=2550634 loops=1)
  Group Key: hist_account_balance.trade_no
  Filter: (max(hist_account_balance.account_size) > 0::numeric)
  Rows Removed by Filter: 18240023
  ->  Hash Join  (cost=3407585.35..34530512.29 rows=46018694
width=15) (actual time=60321.201..1108647.151 rows=44188963 loops=1)
        Hash Cond: (hist_account_balance.trade_no = trades.trade_no)
        ->  Seq Scan on hist_account_balance  (cost=0.00..14986455.20
rows=570046720 width=15) (actual time=0.016..524427.140 rows=549165594
loops=1)
        ->  Hash  (cost=3159184.13..3159184.13 rows=19872098
width=12) (actual time=60307.001..60307.001 rows=20790658 loops=1)
              Buckets: 2097152  Batches: 1  Memory Usage: 913651kB
              ->  Index Scan using trades_trade_date_index on trades
(cost=0.58..3159184.13 rows=19872098 width=12) (actual
time=0.078..52213.976 rows=20790658 loops=1)
                    Index Cond: ((trade_date >
(('now'::cstring)::date - 120)) AND (trade_date <
(('now'::cstring)::date - 30)))
                    Filter: ((NOT forex) AND (NOT options))
                    Rows Removed by Filter: 2387523
Planning time: 2.157 ms
Execution time: 1151234.290 ms
(15 rows)

What kind of indexes have you created for those tables?


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